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首页> 外文期刊>Journal of power electronics >A Time-Varying Gain Super-Twisting Algorithm to Drive a SPIM
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A Time-Varying Gain Super-Twisting Algorithm to Drive a SPIM

机译：驱动SPIM的时变增益超扭曲算法

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摘要

To acquire a performed and practical solution that is free from chattering, this study proposes the use of an adaptive super-twisting algorithm to drive a single-phase induction motor. Partial feedback linearization is applied before using a super-twisting algorithm to control the speed and stator currents. The load torque is considered an unknown but bounded disturbance. Therefore, a time-varying switching gain that does not require prior knowledge of the disturbance boundary is proposed. A simple sliding surface is formulated as the difference between the real and desired trajectories obtained from the indirect rotor flux oriented control strategy. To illustrate the effectiveness of the proposed control structure, an experimental setup around a digital signal processor (dS1104) is developed and several tests are performed.
机译：为了获得无抖动的有效且实用的解决方案，本研究提出使用自适应超扭曲算法来驱动单相感应电动机。在使用超扭曲算法控制速度和定子电流之前，先进行部分反馈线性化。负载转矩被认为是未知但有限的干扰。因此，提出了不需要干扰边界的先验知识的随时间变化的切换增益。一个简单的滑动表面被公式化为从间接转子磁通定向控制策略获得的实际轨迹与期望轨迹之间的差异。为了说明所提出的控制结构的有效性，开发了围绕数字信号处理器（dS1104）的实验装置，并进行了一些测试。

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